Data mining based on the situation of population migration in Sichuan

The sixth census shows that the population data of electronic information in China has basically achieved. There is an increasingly valuable research on how to dig out useful information from the mass of the population data. The category and the fact of economy, transportation, culture, education of various cities have been carried on association rule mining which on the basis of data clustering in population migration in 21 areas in Sichuan. To analysis associated factors with different categories and the original algorithm, database technology has been used finally to improve the Apriori algorithm and take it run. Obtained valuable rules and information, to provide an objective basis for population management and decision-making.